Adaptive stormwater control for enhanced nitrogen removal using real-time forecast outlet automation

Overview

This solution addresses nitrogen pollution in stormwater by enhancing denitrification within existing stormwater control products such as BioMod, BioPod, NRFS, Nutrimax, and Storm Capture. Rather than relying on expensive filter media additives, the approach uses adaptive operation of stormwater detention and retention systems. By equipping outlets with automated valves and integrating real-time forecast data, the system creates saturated, low-oxygen conditions that naturally promote denitrification. Additionally, adaptively extending detention time increases the volume of stormwater that is evapotranspired or infiltrated, further reducing nitrogen releases at a lower cost.

Technical specifications

• Adaptive outlet control: Automated valves dynamically adjust based on real-time conditions and weather forecasts
• Forecast-integrated control: Uses predictive data to optimize detention timing for maximum nitrogen removal
• Compatible infrastructure: Designed to retrofit existing stormwater control products without major structural changes
• Dual benefit mechanism: Promotes biological denitrification under saturated conditions while increasing infiltration and evapotranspiration rates
• Cost advantage: Provides a more cost-effective nitrogen removal solution compared to filter media additives

Technology readiness level

This technology is at an early-to-mid stage of development. While adaptive control systems have been successfully applied to other stormwater management challenges, the specific application for nitrogen removal requires further validation. A proposed 3-year project will evaluate and test a detention/retention system with and without intelligent control, measuring nitrogen concentrations in inflow and outflow. Controlled experiments with synthetic stormwater may be conducted at an off-campus hydraulic lab, with potential field testing in partnership with municipalities. The project is seeking matching funds through an NSERC Alliance-Mitacs Accelerate Grant.